T Test U Test. It is used in hypothesis testing with a null hypothesis that the difference in group means is zero and an alternate hypothesis that the difference in group means is different from zero. A t test is the most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known.
More precisely a t test is used to examine how the means taken from two independent samples differ. We perform a one sample t test when we want to compare a sample mean with the population mean. A t test looks at the t statistic the t distribution values and the degrees of.
A t test is the most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known.
A t test is a statistical test that compares the means of two samples. Despite its lower power it is often favoured over the t test because of the misconception that no assumptions have to be met for the test to be valid. Hence except in special cases the mann whitney u test and the t test do not test the same hypotheses and should be compared with this in mind. When the scaling term is unknown and is replaced by an estimate based on the data the test statistics follow a student s t distribution.
